Computer Science – Information Theory
Scientific paper
May 2001
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2001aipc..568..543s&link_type=abstract
BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING: 20th International Workshop. AIP Conference Proceedi
Computer Science
Information Theory
Nondestructive Testing: Electromagnetic Testing, Eddy-Current Testing, Image Processing, Information Theory And Communication Theory, Diffractometers
Scientific paper
We study the reconstruction of a 3D compact homogeneous object lying inside a homogeneous background for computer aided design (CAD) or nondestructive testing (NDT) applications. Such a binary scene describes either a solid object or an homogeneous material in which a fault is sought. The goal in both cases is to reconstruct the shape of the scene from sparse radiographic data. This problem is under-determined and one needs to use all prior information about the scene to find a satisfactory solution. A natural approach is to model the exterior contour of the fault by a deformable geometric template, which we reconstruct directly from the radiographic data. In this communication, we give a synthetic view of these contour-based methods and compare their relative performances and limitations to recover complex faults. .
Mohammad-Djafari Ali
Soussen Charles
No associations
LandOfFree
Contour-based models for 3D binary reconstruction in X-ray tomography does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Contour-based models for 3D binary reconstruction in X-ray tomography, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Contour-based models for 3D binary reconstruction in X-ray tomography will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-924099